Currently, most quantization based data hiding algorithms are built assuming specific distributions of attacks, such as additive white Gaussian noise (AWGN), uniform noise, and s...
Quantization, defined as the act of attributing a finite number of grey-levels to an image, is an essential task in image acquisition and coding. It is also intricately linked to ...
Anna Jezierska, Caroline Chaux, Hugues Talbot, Jea...
Theories of shaping for lattice codes have been developed for systems (optical or non-optical) using coherent detection with additive white Gaussian noise (AWGN) and for direct-det...
This paper investigates asymptotically optimal scalar quantizers to address QIM watermark detection with i.i.d. host data and additive noise. False-alarm probability of detection ...
Jean-Philippe Boyer, Pierre Duhamel, Jacques Blanc...
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...